Best Data Labeling Software for Small Business - Page 2

How Many Data Labeling Software Products Does G2 Track?

Total Products under this Category: 139

Category Stats (Oct 2026)

  • Average Rating: 4.51/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Snorkel AI (+1.52%) - Among all products in this category, Snorkel AI recorded the largest rating increase compared to last month

Last updated: October 01, 2026

How Does G2 Rank Data Labeling Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,900+ Authentic Reviews
  • 139+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Labeling Software

G2 Grid® for Data Labeling Software plotting products by satisfaction and market presence

Highlighted products: Roboflow, SuperAnnotate, Outlier AI, Encord, CVAT, V7 Darwin, Clarifai, and Labelbox.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-labeling/grids.json?focus%5B%5D=roboflow&focus%5B%5D=superannotate&focus%5B%5D=outlier-ai-outlier-ai&focus%5B%5D=encord&focus%5B%5D=cvat&focus%5B%5D=v7-darwin&focus%5B%5D=clarifai&focus%5B%5D=labelbox&segment=small-business)

Kili

Kili Technology is a collaborative AI data platform designed to meet the rigorous needs of building large-scale production-ready AI data securely. Founded in Paris in 2018, Kili Technology caters to a diverse range of industries, including healthcare, financial services, manufacturing, defense, and technology. The platform is engineered to support teams of varying sizes, accommodating anywhere from 1 to over 500 concurrent users, and processes millions of assets annually. The core functionality of Kili Technology lies in its ability to facilitate collaboration among cross-functional teams. Unlike traditional labeling tools that primarily serve machine learning engineers, Kili connects data science teams with business stakeholders and subject matter experts. This integration enhances the AI development lifecycle by streamlining processes from annotation and labeling to validation and model feedback. As a result, users can ensure that the data used for training AI models is not only accurate but also relevant to the specific business context. Kili Technology is particularly beneficial for organizations looking to harness the power of AI while maintaining a high level of data quality. The platform supports various data modalities, allowing teams to work with text, images, audio, and video data seamlessly. This versatility makes it suitable for a wide range of applications, from developing natural language processing models to image recognition systems. By fostering collaboration among different roles within an organization, Kili enhances the overall efficiency of the AI development process. Key features of Kili Technology include an intuitive user interface that simplifies the labeling process, robust tools for data validation, and comprehensive feedback mechanisms that enable continuous improvement of AI models. Additionally, the platform offers advanced analytics capabilities, allowing teams to track progress and identify areas for enhancement. These features collectively empower organizations to build high-quality training datasets that meet the demands of complex AI applications. Kili Technology stands out in the competitive landscape of AI data platforms by prioritizing collaboration and usability. By bridging the gap between technical and non-technical stakeholders, it ensures that the development of AI solutions is a cohesive effort. This approach not only accelerates the time to market for AI initiatives but also enhances the overall quality of the training data, ultimately leading to more effective AI models.

Average Rating: 4.7/5.0

Total Reviews: 52

How Do G2 Users Rate Kili?

  • Labeler Quality: 9.2/10 (Category avg: 8.9/10)
  • Object Detection: 9.2/10 (Category avg: 8.9/10)
  • Data Types: 9.2/10 (Category avg: 8.8/10)
  • Ease of Use: 8.9/10 (Category avg: 8.8/10)

Who Is the Company Behind Kili?

  • Seller: Kili Technology
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Paris, FR
  • Twitter: @Kili_Technology
    438 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    51 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Medium, 34% Small

What Do G2 Reviewers Say About Kili?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use and precise metrics for comprehensive visualization of annotation projects on Kili.
  • Users love the ease of use of Kili's data labeling platform, appreciating its precise metrics and project visualization.
  • Users love the ease of use of Kili, making annotation projects straightforward and efficient.
  • Users value the variety of models available on Kili, enhancing their annotation projects with diverse options.
Cons
  • Users feel Kili lacks ample features, expressing a desire for more content in platform updates.
  • Users feel that Kili lacks adequate content updates, impacting their overall experience and functionality of the platform.

What Are Recent G2 Reviews of Kili?

Keymakr

We are a data labeling company that focuses on providing high quality annotation services and excellent customer support. We are the best choice for: Image Annotation Video Annotation Data validation Document Annotation Data Creation Data Collection Our company creates best-in-class computer vision training data. We offer an in-house team paired with advanced proprietary annotation tools. Scalable and secure one-stop shop for your AI

Average Rating: 4.8/5.0

Total Reviews: 45

How Do G2 Users Rate Keymakr?

  • Labeler Quality: 9.4/10 (Category avg: 8.9/10)
  • Object Detection: 9.7/10 (Category avg: 8.9/10)
  • Data Types: 9.7/10 (Category avg: 8.8/10)
  • Ease of Use: 9.2/10 (Category avg: 8.8/10)

Who Is the Company Behind Keymakr?

  • Seller: Keymakr
  • Year Founded: 2015
  • HQ Location: New York, NY
  • Twitter: @keymakr_com
    354 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    64 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Small, 22% Medium

What Do G2 Reviewers Say About Keymakr?

AI-generated summary from verified user reviews

Pros
  • Users commend Keymakr's excellent customer support and responsiveness, enhancing their overall experience with the software.
  • Users value the high-quality annotations from Keymakr, appreciating their accuracy and attention to detail on various images.
  • Users value Keymakr's efficient workflow integration, simplifying processes and enhancing overall productivity significantly.
  • Users commend Keymakr for its annotation efficiency, appreciating quick services and streamlined workflows that enhance productivity.
  • Users appreciate Keymakr's exceptional customer service, highlighting their proactive approach and fast, accurate responses to issues.
Cons
  • Users report recurring annotation mistakes and difficulties in exporting COCO format labels, though issues were eventually resolved.
  • Users find the difficult setup challenging, with initial adjustments and confusing UI navigation causing frustration.
  • Users find the UI navigation convoluted, making the initial setup and connections, like to S3, challenging.
  • Users find the limited customization options in Keymakr frustrating, particularly regarding password changes.

What Are Recent G2 Reviews of Keymakr?

Segments.ai

Multi-sensor labeling platform for robotics and autonomous driving. Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Image Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation - ML-powered labeling tools: DeepPixels and Autosegment Image Vector Labeling - Bounding boxes - Polygons - Polylines - Keypoints Point Cloud Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation Point Cloud Vector Labeling - Cuboids / 3D bounding boxes - Keypoints - Polygons and polylines Video labeling - Label sequences of data fast with interpolation and ML assistance. - Label merged 3D point clouds of unlimited size. - Label 3D sequences faster with batch mode and merged point cloud view. Sensor fusion: visualize and label multiple modalities in the same interface Build your clever annotation workflow exactly how you want, with the flexibility you need to get the job done quickly and efficiently. Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it. - A Python SDK that finally makes sense - Documentation to make the setup feel like a breeze - Self-serve with support only when you are stuck, so we don't slow you down - Automatically trigger actions using webhooks - Connect your cloud provider (AWS, Google Cloud, Azure) - Export to popular ML frameworks (PyTorch, TensorFlow, Hugging Face 🤗) Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together. Get started with a free trial today at https://segments.ai/join

Average Rating: 4.6/5.0

Total Reviews: 22

How Do G2 Users Rate Segments.ai?

  • Labeler Quality: 8.9/10 (Category avg: 8.9/10)
  • Object Detection: 8.3/10 (Category avg: 8.9/10)
  • Data Types: 8.0/10 (Category avg: 8.8/10)
  • Ease of Use: 8.6/10 (Category avg: 8.8/10)

Who Is the Company Behind Segments.ai?

  • Seller: Segments.ai
  • Year Founded: 2020
  • HQ Location: Leuven, Vlaams-Brabant, Belgium
  • Twitter: @SegmentsAI
    483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Research, Computer Software
  • Company Size: 95% Small, 5% Medium

What Do G2 Reviewers Say About Segments.ai?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use and efficiency in creating organized annotated datasets with Segments.ai.
  • Users praise the efficiency in multi-sensor data labeling offered by Segments.ai for seamless automation processes.
  • Users commend the efficiency of Segments.ai, making dataset organization and label management significantly quicker and easier.
  • Users appreciate the time-saving capabilities of Segments.ai, streamlining the process of creating organized annotated datasets.
  • Users appreciate the annotation efficiency of Segments.ai, finding it faster and easier than other tools.
Cons
  • Users find a difficult learning curve when mastering the complex interface and tools for multi-sensor data annotation.
  • Users find that the learning curve for annotating complex, multi-sensor data can be challenging to master.
  • Users find occasional annotation issues due to the need for extra configuration and more automation options.
  • Users note a lack of features, wishing for more options and configuration for advanced functionalities and automations.
  • Users note a lack of tools for advanced features and automations, limiting the full potential of Segments.ai.

What Are Recent G2 Reviews of Segments.ai?

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BasicAI Data Annotation Platform

BasicAI Data Annotation Platform (https://www.basic.ai/basicai-cloud-data-annotation-platform) is an All-in-One Smart Data Annotation Platform with strong multimodal feature and AI-powered annotation tools that supports: - Auto-annotation and objects tracking of 3D point cloud (single frame & frame series), 2D & 3D sensor fusion, images and video (consecutive images) data - Auto-segmentation of 3D point cloud data - Smooth annotation teamwork, including management of workflow, performance roles & permission, etc. - No-lag annotation of up to 150 million points in 300 frame in one point cloud data, as well as 1,000 images in one 2D data.

Average Rating: 4.4/5.0

Total Reviews: 36

How Do G2 Users Rate BasicAI Data Annotation Platform?

  • Labeler Quality: 8.9/10 (Category avg: 8.9/10)
  • Object Detection: 8.8/10 (Category avg: 8.9/10)
  • Data Types: 8.8/10 (Category avg: 8.8/10)
  • Ease of Use: 8.5/10 (Category avg: 8.8/10)

Who Is the Company Behind BasicAI Data Annotation Platform?

  • Seller: BasicAI
  • Year Founded: 2019
  • HQ Location: Irvine, CA
  • Twitter: @BasicAIteam
    94 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Small, 31% Medium

What Are Recent G2 Reviews of BasicAI Data Annotation Platform?

What Are G2 Users Discussing About BasicAI Data Annotation Platform?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated